Reduced order modeling in FDTD with provable stability beyond the CFL limit

Xinyue Zhang, Fadime Bekmambetova, P. Triverio
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引用次数: 3

Abstract

The Finite-Difference Time-Domain (FDTD) method is widely used in signal and power integrity, applied electromagnetism, and physics. Unfortunately, its computational efficiency can be severely degraded for multiscale problems, where small and large features coexist. This scenario is common in signal and power integrity, because of the large aspect ratio of interconnects and power/ground planes. In this paper, we show how multiscale FDTD simulations can be accelerated with model order reduction. A detailed model for complex objects is first generated using a fine FDTD grid. The model is then compressed with model order reduction, and embedded into a main coarse grid. During this process, the stability limit of the reduced model can be also extended, enabling the use of a larger time step in the whole domain. Using a passivity argument, we are able to systematically guarantee the stability of the resulting scheme, which is a main novelty with respect to previous works. A numerical example with two reduced models shows the potential of the proposed ideas.
在FDTD中简化阶数建模,可证明超过CFL极限的稳定性
时域有限差分(FDTD)方法在信号与功率完整性、应用电磁学和物理学等领域有着广泛的应用。不幸的是,对于大小特征共存的多尺度问题,其计算效率会严重下降。这种情况在信号和电源完整性中很常见,因为互连和电源/地平面的宽高比很大。在本文中,我们展示了如何通过模型降阶来加速多尺度FDTD仿真。首先使用精细FDTD网格生成复杂对象的详细模型。然后对模型进行降阶压缩,嵌入到主粗网格中。在此过程中,简化模型的稳定性极限也可以得到扩展,从而可以在整个域内使用更大的时间步长。使用被动性论证,我们能够系统地保证最终方案的稳定性,这是与以前的作品相比的主要新颖之处。用两个简化模型的数值算例表明了所提思想的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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